Evidence mapPaperPMID 40847006Full record

ReviewMolecular psychiatry2026

Dysfunctional circular RNA network in major depressive disorder: dissecting the cell identity and potential clinical applications.

Liucen Tan, Wenfeng Zhao, Huang Wang, Xinqi Huang, Rui Li, Lin Yin, Xiaolei Liu, Junhui Wang, Nan Wu, Hongxing Wang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Liucen TanDivision of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, China.ORCID http://orcid.org/0009-0004-3290-1038
Wenfeng ZhaoDivision of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, China.
Huang WangDivision of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, China.
Xinqi HuangDivision of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, China.
Rui LiDivision of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, China.
Lin YinDivision of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, China.
Xiaolei LiuDivision of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, China.
Junhui WangLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-0892-9909
Nan WuSunnybrook Research Institute, Toronto, ON, Canada. wunan.my@gmail.com.
Hongxing WangDivision of Neuropsychiatry and Psychosomatics, Department of Neurology, Xuanwu Hospital, National Center for Neurological Disorders, National Clinical Research Center for Geriatric Diseases, Capital Medical University, Beijing, China. wanghongxing@xwh.ccmu.edu.cn.ORCID http://orcid.org/0000-0002-7942-9330

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82371490、82160272
6 · The paper itself

Abstract

Circular RNAs (circRNAs), characterized by their unique covalently closed circular structure, are highly stable, conserved, and expressed in a tissue-, cell-, and developmental stage-specific manner. A lot of evidence has indicated that circRNAs play a crucial role in diversified biological and pathological processes by sponging microRNAs (miRNAs), interacting with proteins, or being translated into particular proteins, etc. Recent advancements in bioinformatics have revealed a close association between circRNAs and the development of neuropsychiatric diseases, including major depressive disorder (MDD). Increasingly, researchers emphasize the significant impact of abnormal circRNA expression and its targets on the pathogenesis of MDD. However, the detailed mechanisms involved remain elusive. Research has articulated the important role of neuronal cell dysfunction in MDD. Glia cells are the most abundant cell type in the central nervous system (CNS) and provide critical roles in MDD via intercellular-interaction-dependent pathogenic mechanisms. In this review, we extensively explore the newly identified roles of circRNAs in MDD. We summarize their novel mechanisms from cellular and molecular perspectives by deciphering how circRNAs interplay between neurons and neurogliocytes, followed by how circRNAs are tailored to synaptic plasticity and stress pathways under a variety of circumstances. Last, we discuss and predict their potential clinical values of diagnosis and therapy.

Indexed as

Major Depressive DisorderRNA, CircularAnimalsHumansMicroRNAsNeurogliaNeuronal PlasticityNeuronsMicroRNAsRNA, Circular

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.